Papers by Gihun Cho
CREPE: Rapid Chest X-ray Report Evaluation by Predicting Multi-category Error Counts (2025.emnlp-main)
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| Challenge: | CREPE is a metric for rapid, interpretable, and clinically grounded automated chest X-ray report generation. |
| Approach: | They propose to use a domain-specific BERT model fine-tuned with a multi-head regression architecture to predict multi-category error counts across six clinically meaningful categories. |
| Outcome: | CREPE outperforms traditional and recent metrics on a large-scale synthetic dataset of 32,000 annotated report pairs. |